Course: Advanced Macroeconomics II – Block A – The macroeconomics of automation, artificial intelligence, and digitization

Professor: Andreas Irmen

ECTS: 2

Aims:

The course Advanced Macroeconomics II of the Doctoral School in Economics and Finance connects students to the research frontier of modern Macroeconomics. It builds on and complements the PhD-training in Macroeconomics that begins with the course Advanced Macroeconomics I of the Master of Science in Quantitative Economics and Finance (MScQEF). The present syllabus presents Block A of Advanced Macroeconomics II. This block is concerned with recent advances in the theory of economic growth. Covered topics include theories of endogenous technical change with a particular emphasis on the recent literature on the role of automation, artificial intelligence, and digitization for economic growth and the distribution of incomes.

Learning Objectives:

Upon successful completion of this course students will be able to analyze and assess scientific contributions in the areas of Economic Growth and Dynamic Macroeconomics. They will master modern methodological concepts such as techniques of dynamic optimization, the analysis of complex dynamical systems, and dynamic general equilibrium theory. Moreover, they will be in a position to apply these concepts in their own research.